India AI Summit 2026: Experts Push for Integrated Frameworks in AI Regulation and Governance
December 22, 2025
A high-level roundtable ahead of the India AI Impact Summit 2026 focused on embedding regulatory principles into AI systems to ensure accountability, transparency, data privacy, and cybersecurity by design.
Key attendees included representatives from the PSA office, IT Ministry officials, iSPIRT Foundation volunteers, and IIT Madras Centre for Responsible AI leadership, with participation from experts at IIT Jodhpur and National Law University, Delhi.
Experts stressed the need for standardised, lifecycle-wide evaluation frameworks for responsible AI and for translating insights into policy levers, with governance integrated into AI technology stacks to reduce risks and promote equitable access.
Regulatory responses to non-deterministic AI and AI-generated content, including copyright concerns, were addressed, along with the challenges of operationalising techno-legal frameworks for AI governance.
Further discussions examined balancing model robustness with socio-economic trade-offs while implementing techno-legal regulations and addressing copyright in AI-generated works.
Additional conversations covered the practicalities of operationalising techno-legal frameworks amid evolving regulatory landscapes and the need for coherent governance approaches.
The event framed India’s approach to techno-legal regulation, highlighting practical implementation mechanisms, policy enablement, capacity building, and a push for global cooperation.
Overall, the main focus was on establishing a responsible governance framework for AI with practical implementation strategies, clear policy pathways, capacity building, and international collaboration.
Summary based on 9 sources
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Sources

Lokmat Times • Dec 22, 2025
India ready to adopt techno-legal approach to AI governance: PSA
Lokmat Times • Dec 22, 2025
India ready to adopt techno-legal approach to AI governance: PSA
Ommcom News • Dec 22, 2025
India Ready To Adopt Techno-Legal Approach To AI Governance: PSA